Jacob Andreas

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Natural Language Decomposition and Interpretation of Complex Utterances.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A Multimodal Automated Interpretability Agent.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

In-Context Language Learning: Architectures and Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Grounded Action Abstractions from Language.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning with Language-Guided State Abstractions.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

The Consensus Game: Language Model Generation via Equilibrium Search.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Modeling Boundedly Rational Agents with Latent Inference Budgets.

[BibT_eX]

[DOI]

Athul Paul Jacob

Abhishek Gupta

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Linearity of Relation Decoding in Transformer Language Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

LILO: Learning Interpretable Libraries by Compressing and Documenting Code.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MisinfoEval: Generative AI in the Era of "Alternative Facts".

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Language-to-Code Translation with a Single Labeled Example.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Lexicon-Level Contrastive Visual-Grounding Improves Language Modeling.

[BibT_eX]

[DOI]

Chengxu Zhuang

Evelina Fedorenko

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Toward In-Context Teaching: Adapting Examples to Students' Misconceptions.

[BibT_eX]

[DOI]

Alexis Ross

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Learning adaptive planning representations with natural language guidance.

[BibT_eX]

[DOI]

CoRR, 2023

Evaluating the Utility of Model Explanations for Model Development.

[BibT_eX]

[DOI]

Shawn Im

Yilun Zhou

CoRR, 2023

Eliciting Human Preferences with Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

A Function Interpretation Benchmark for Evaluating Interpretability Methods.

[BibT_eX]

[DOI]

CoRR, 2023

From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought.

[BibT_eX]

[DOI]

CoRR, 2023

Measuring and Manipulating Knowledge Representations in Language Models.

[BibT_eX]

[DOI]

Evan Hernandez

Belinda Z. Li

CoRR, 2023

Language Models Trained on Media Diets Can Predict Public Opinion.

[BibT_eX]

[DOI]

CoRR, 2023

LaMPP: Language Models as Probabilistic Priors for Perception and Action.

[BibT_eX]

[DOI]

CoRR, 2023

The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FIND: A Function Description Benchmark for Evaluating Interpretability Methods.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PromptBoosting: Black-Box Text Classification with Ten Forward Passes.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Guiding Pretraining in Reinforcement Learning with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Characterizing intrinsic compositionality in transformers with Tree Projections.

[BibT_eX]

[DOI]

Shikhar Murty

Christopher D. Manning

Proceedings of the Eleventh International Conference on Learning Representations, 2023

What learning algorithm is in-context learning? Investigations with linear models.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Pushdown Layers: Encoding Recursive Structure in Transformer Language Models.

[BibT_eX]

[DOI]

Shikhar Murty

Christopher D. Manning

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Cognitive Dissonance: Why Do Language Model Outputs Disagree with Internal Representations of Truthfulness?

[BibT_eX]

[DOI]

Kevin Liu

Stephen Casper

Dylan Hadfield-Menell

Ramón Fernandez Astudillo

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Alignment via Mutual Information.

[BibT_eX]

[DOI]

Shinjini Ghosh

Yoon Kim

Tahira Naseem

Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

Grokking of Hierarchical Structure in Vanilla Transformers.

[BibT_eX]

[DOI]

Shikhar Murty

Christopher D. Manning

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Language Modeling with Latent Situations.

[BibT_eX]

[DOI]

Belinda Z. Li

Maxwell I. Nye

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

LexSym: Compositionality as Lexical Symmetry.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

ObSynth: An Interactive Synthesis System for Generating Object Models from Natural Language Specifications.

[BibT_eX]

[DOI]

CoRR, 2022

Tracing Knowledge in Language Models Back to the Training Data.

[BibT_eX]

[DOI]

CoRR, 2022

Compositionality as Lexical Symmetry.

[BibT_eX]

[DOI]

CoRR, 2022

Correcting Robot Plans with Natural Language Feedback.

[BibT_eX]

[DOI]

Balakumar Sundaralingam

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Pre-Trained Language Models for Interactive Decision-Making.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Quantifying Adaptability in Pre-trained Language Models with 500 Tasks.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Modeling Strong and Human-Like Gameplay with KL-Regularized Search.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Natural Language Descriptions of Deep Visual Features.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Subspace Regularizers for Few-Shot Class Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Hierarchical Phrase-Based Sequence-to-Sequence Learning.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Language Models as Agent Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Towards Tracing Knowledge in Language Models Back to the Training Data.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Identifying concept libraries from language about object structure.

[BibT_eX]

[DOI]

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Skill Induction and Planning with Latent Language.

[BibT_eX]

[DOI]

Antonio Torralba

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Guided K-best Selection for Semantic Parsing Annotation.

[BibT_eX]

[DOI]

Anton Belyy

Chieh-Yang Huang

Emmanouil Antonios Platanios

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2021

Modeling Strong and Human-Like Gameplay with KL-Regularized Search.

[BibT_eX]

[DOI]

CoRR, 2021

How Do Neural Sequence Models Generalize? Local and Global Context Cues for Out-of-Distribution Prediction.

[BibT_eX]

[DOI]

D. Anthony Bau

CoRR, 2021

FairyTailor: A Multimodal Generative Framework for Storytelling.

[BibT_eX]

[DOI]

CoRR, 2021

Lexicon Learning for Few-Shot Neural Sequence Modeling.

[BibT_eX]

[DOI]

Emmanouil Antonios Platanios

CoRR, 2021

Cetacean Translation Initiative: a roadmap to deciphering the communication of sperm whales.

[BibT_eX]

[DOI]

CoRR, 2021

Teachable Reinforcement Learning via Advice Distillation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Compositional Generalization for Neural Semantic Parsing via Span-level Supervised Attention.

[BibT_eX]

[DOI]

Yu Su

Sam Thomson

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Multitasking Inhibits Semantic Drift.

[BibT_eX]

[DOI]

Athul Paul Jacob

Mike Lewis

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Leveraging Language to Learn Program Abstractions and Search Heuristics.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Representing Partial Programs with Blended Abstract Semantics.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Learning to Recombine and Resample Data For Compositional Generalization.

[BibT_eX]

[DOI]

Afra Feyza Akyürek

Proceedings of the 9th International Conference on Learning Representations, 2021

Toward a Visual Concept Vocabulary for GAN Latent Space.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

How Do Neural Sequence Models Generalize? Local and Global Cues for Out-of-Distribution Prediction.

[BibT_eX]

[DOI]

D. Anthony Bau

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

The Low-Dimensional Linear Geometry of Contextualized Word Representations.

[BibT_eX]

[DOI]

Evan Hernandez

Emmanouil Antonios Platanios

Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

Language as a bootstrap for compositional visual reasoning.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Value-Agnostic Conversational Semantic Parsing.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

What Context Features Can Transformer Language Models Use?

[BibT_eX]

[DOI]

Joe O'Connor

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Implicit Representations of Meaning in Neural Language Models.

[BibT_eX]

[DOI]

Belinda Z. Li

Maxwell I. Nye

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Lexicon Learning for Few Shot Sequence Modeling.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Task-Oriented Dialogue as Dataflow Synthesis.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2020

Are Visual Explanations Useful? A Case Study in Model-in-the-Loop Prediction.

[BibT_eX]

[DOI]

Eric Chu

Deb Roy

CoRR, 2020

Unnatural Language Processing: Bridging the Gap Between Synthetic and Natural Language Data.

[BibT_eX]

[DOI]

CoRR, 2020

A Benchmark for Systematic Generalization in Grounded Language Understanding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Compositional Explanations of Neurons.

[BibT_eX]

[DOI]

Jesse Mu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Experience Grounds Language.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Good-Enough Compositional Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Pragmatically Informative Text Generation.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

A Survey of Reinforcement Learning Informed by Natural Language.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Guiding Policies with Language via Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Measuring Compositionality in Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Learning from Language.

[BibT_eX]

[DOI]

PhD thesis, 2018

Speaker-Follower Models for Vision-and-Language Navigation.

[BibT_eX]

[DOI]

Louis-Philippe Morency

Taylor Berg-Kirkpatrick

Kate Saenko

Trevor Darrell

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Unified Pragmatic Models for Generating and Following Instructions.

[BibT_eX]

[DOI]

Daniel Fried

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Learning with Latent Language.

[BibT_eX]

[DOI]

Sergey Levine

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games?

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Explainable Neural Computation via Stack Neural Module Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Modular Multitask Reinforcement Learning with Policy Sketches.

[BibT_eX]

[DOI]

Sergey Levine

Proceedings of the 34th International Conference on Machine Learning, 2017

Learning to Reason: End-to-End Module Networks for Visual Question Answering.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Analogs of Linguistic Structure in Deep Representations.

[BibT_eX]

[DOI]

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Modeling Relationships in Referential Expressions with Compositional Modular Networks.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

A Minimal Span-Based Neural Constituency Parser.

[BibT_eX]

[DOI]

Mitchell Stern

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Translating Neuralese.

[BibT_eX]

[DOI]

Anca D. Dragan

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Learning to Compose Neural Networks for Question Answering.

[BibT_eX]

[DOI]

Proceedings of the NAACL HLT 2016, 2016

Reasoning about Pragmatics with Neural Listeners and Speakers.

[BibT_eX]

[DOI]

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Neural Module Networks.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Deep Compositional Question Answering with Neural Module Networks.

[BibT_eX]

[DOI]

CoRR, 2015

On the Accuracy of Self-Normalized Log-Linear Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

When and why are log-linear models self-normalizing?

[BibT_eX]

[DOI]

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Alignment-Based Compositional Semantics for Instruction Following.

[BibT_eX]

[DOI]

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014

Unsupervised Transcription of Piano Music.

[BibT_eX]

[DOI]

Taylor Berg-Kirkpatrick